Search Results - "Kernbach, Julius M."
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The default network of the human brain is associated with perceived social isolation
Published in Nature communications (15-12-2020)“…Humans survive and thrive through social exchange. Yet, social dependency also comes at a cost. Perceived social isolation, or loneliness, affects physical and…”
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Significance of external validation in clinical machine learning: let loose too early?
Published in The spine journal (01-07-2020)Get full text
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Shared endo-phenotypes of default mode dysfunction in attention deficit/hyperactivity disorder and autism spectrum disorder
Published in Translational psychiatry (17-07-2018)“…Categorical diagnoses from the Diagnostic and Statistical Manual of Mental Disorders (DSM) or International Classification of Diseases (ICD) manuals are…”
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Publisher Correction: The default network of the human brain is associated with perceived social isolation
Published in Nature communications (21-05-2021)Get full text
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Bayesian stroke modeling details sex biases in the white matter substrates of aphasia
Published in Communications biology (31-03-2023)“…Ischemic cerebrovascular events often lead to aphasia. Previous work provided hints that such strokes may affect women and men in distinct ways. Women tend to…”
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Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants
Published in Proceedings of the National Academy of Sciences - PNAS (27-11-2018)“…The human default mode network (DMN) is implicated in several unique mental capacities. In this study, we tested whether brain-wide interregional communication…”
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Predicted Prognosis of Pancreatic Cancer Patients by Machine Learning-Letter
Published in Clinical cancer research (15-07-2020)Get full text
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A critical moment in machine learning in medicine: on reproducible and interpretable learning
Published in Acta neurochirurgica (16-01-2024)“…Over the past two decades, advances in computational power and data availability combined with increased accessibility to pre-trained models have led to an…”
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Machine learning in neurosurgery: a global survey
Published in Acta neurochirurgica (01-12-2020)“…Background Recent technological advances have led to the development and implementation of machine learning (ML) in various disciplines, including…”
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Shared endo-phenotypes of default mode dsfunction in attention deficit/hyperactivity disorder and autism spectrum disorder
Published in Translational psychiatry (17-07-2018)“…Categorical diagnoses from the Diagnostic and Statistical Manual of Mental Disorders (DSM) or International Classification of Diseases (ICD) manuals are…”
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Letter to the Editor. Importance of calibration assessment in machine learning-based predictive analytics
Published in Journal of neurosurgery. Spine (01-06-2020)Get full text
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External validation of a prediction model for pain and functional outcome after elective lumbar spinal fusion
Published in European spine journal (01-02-2020)“…Objective Patient-reported outcome measures following elective lumbar fusion surgery demonstrate major heterogeneity. Individualized prediction tools can…”
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Machine Learning Algorithms in Neuroimaging: An Overview
Published in Acta neurochirurgica. Supplement (2022)“…Machine learning (ML) and artificial intelligence (AI) applications in the field of neuroimaging have been on the rise in recent years, and their clinical…”
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18F-FET-PET-guided gross total resection improves overall survival in patients with WHO grade III/IV glioma: moving towards a multimodal imaging-guided resection
Published in Journal of neuro-oncology (30-10-2021)“…Purpose PET using radiolabeled amino acid [ 18 F]-fluoro-ethyl- L -tyrosine (FET-PET) is a well-established imaging modality for glioma diagnostics. The…”
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Meta-topologies define distinct anatomical classes of brain tumours linked to histology and survival
Published in Brain communications (2023)“…Abstract The current World Health Organization classification integrates histological and molecular features of brain tumours. The aim of this study was to…”
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The association of patient age with postoperative morbidity and mortality following resection of intracranial tumors
Published in Brain & spine (2021)“…The postoperative functional status of patients with intracranial tumors is influenced by patient-specific factors, including age. This study aimed to…”
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Development and external validation of a clinical prediction model for functional impairment after intracranial tumor surgery
Published in Journal of neurosurgery (01-06-2021)“…Decision-making for intracranial tumor surgery requires balancing the oncological benefit against the risk for resection-related impairment. Risk estimates are…”
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Pattern learning reveals brain asymmetry to be linked to socioeconomic status
Published in Cerebral cortex communications (01-04-2022)“…Abstract Socioeconomic status (SES) anchors individuals in their social network layers. Our embedding in the societal fabric resonates with habitus, world…”
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18 F-FET-PET-guided gross total resection improves overall survival in patients with WHO grade III/IV glioma: moving towards a multimodal imaging-guided resection
Published in Journal of neuro-oncology (01-10-2021)“…PET using radiolabeled amino acid [ F]-fluoro-ethyl- -tyrosine (FET-PET) is a well-established imaging modality for glioma diagnostics. The biological tumor…”
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Journal Article